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From a Prompt to Repertoires: Evolving Functional REpertoires Enable LLM Continual Learning
Continual learning remains challenging for large language models, which must enable models to acquire new skills and knowledge without degrading existing capabilities. Existing approaches typically address this challenge by carefully designing how model parameters are updated. In contrast, prompt op
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